Application technology丨Intelligent driving 4D imaging radar
Application field: Intelligent driving
Unique advantages:
Comprehensive optimization has been carried out in terms of waveform design, aperture array, transceiver channel, algorithm architecture, computing efficiency and anti-interference. After integration with the front camera, L3-level NOA system functions (automatic assisted navigation driving) such as autonomous on- and off-ramps and intelligent lane changes can be realized. With the advantages of single-board architecture that combines small space and low power consumption, and is easy to develop, test and deploy on a large scale, Muniu Technology not only controls the cost of 4D imaging radar to the extreme, but also increases the point cloud density and accuracy of the entire FOV range through composite waveforms, complex arrays and solutions. Regardless of the distance, it can ensure that the point cloud density does not decrease, the point cloud condenses and does not diverge, and the angular resolution is less than 1 degree. I79 has been verified by a number of internationally standardized mass production evaluations and has achieved the best in the industry in terms of point cloud density and target recognition capabilities. And after docking and integration with the mainstream domain control processor platform, it is sufficient to achieve high-level intelligent driving in high-speed and urban scenarios.
Application scenarios:
Automatic obstacle avoidance for commercial vehicles and mid-to-high-level intelligent driving for passenger cars
Future prospects:
According to Gasgoo's Intelligent Driving Configuration Database , the penetration rate of L2 autonomous driving functions in China will exceed 30% in 2022. Gasgoo Automotive Research Institute expects it to reach 50% by 2025, and L3 vehicles will begin large-scale mass production after 2025. In terms of market size, the overall market size will exceed 200 billion yuan in 2025. From the perspective of configuration solutions, the L2+ system, especially the NOA function, generally adopts the "5 millimeter-wave radars + camera" front fusion solution. After upgrading to 4D imaging radar, the AEB algorithm can consider the perception results of the millimeter-wave radar more, so as to identify static obstacles on the road with a higher probability. Combined with the advantages brought by its high resolution, it can more effectively analyze the outline, category, and behavior of the target, and then know under what circumstances it is necessary to brake.
Golden Album Award Introduction:
The " Golden Collection Award " was initiated by Gasgoo with the aim of "discovering good companies, promoting good technologies, and achieving automotive people", and revolves around the theme of "Top 100 New Automotive Supply Chains in China". This year's Golden Collection Award focuses on ten sub-sectors: smart driving, smart cockpit, smart chassis, automotive software, automotive-grade chips, big data and artificial intelligence, powertrain and charging and swapping, thermal management, body and interior and exterior, and new materials. It selects outstanding companies and advanced technology solutions, showcases these outstanding companies and industry leaders to the industry and outside, and jointly promotes the development and progress of the industry.
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